Emedgene is an AI-based platform, incorporating machine learning throughout the analysis and interpretation workflow in order to deliver the fastest time from genomic data to decisions. We apply machine learning models that retrieve evidence-backed answers and provide exceptional decision support.
Emedgene’s automated interpretation algorithms generate an accurate shortlist of up to 10 potential causative variants. In a joint study of 180 solved cases with Baylor Genetics, 96% of cases were successfully solved by the algorithm. See Meng et al, Genetics in Medicine, 2023 publication for more details.
The platform is not a black box, and overlays a layer of explainable AI (XAI), presenting supporting evidence from the literature and databases which significantly reduces the time to interpret a case.
The algorithms use a proprietary Emedgene knowledge graph which incorporates information extracted from literature with Natural Language Processing, as well as from public databases and is updated on a monthly basis.
Dozens of additional algorithms are incorporated throughout the workflow.
Overall, the system combines AI in a highly optimized and customizable workbench, in order to automate the most time-intensive aspects of genomic analysis and research.